Lead Database Engineer

Green Dot • Los Angeles, CA

2d • Hybrid

About The Position

We are looking for a Database Engineer with deep expertise in SQL Server and Azure cloud technologies to join our product engineering team. This role is ideal for someone who thrives in a fast-paced, AI-enhanced SDLC and is passionate about building scalable, secure, and high-performance applications.

Requirements

• 6+ years of experience in database engineering with a focus on SQL Server .
• Strong understanding of database design , indexing, query optimization , and stored procedures.
• Strong experience in Database Modeling using 3rd Normal form with solid experience in data architect.
• Have 3-5 years’ experience in No SQL experience such as COSMOS.
• Having solid knowledge of SQL Internals in Azure SQL Database Hyperscale
• Strong experience in optimizing database queries and stored procedures including monitoring database performance both system and database standpoint.
• Has strong experience using SQL Server side Trace.
• Proven experience with Azure SQL , Azure Data Factory , and cloud-native data architectures .
• Expertise in reviewing stored proc performance, reading execution plans and making optimizations
• Designing and writing high performance SQL queries and table designs
• Familiarity with AI code assistants like GitHub Copilot, or similar tools.
• Ability to work in the U.S. without sponsorship
• Ability to meet the location requirement outlined above

Nice To Haves

• Knowledge in distributed databases and ELT tools, data stream processing tools is a big plus.

Responsibilities

• Design, implement, and optimize SQL Server databases for high availability, scalability, and performance.
• Lead and support Azure migration efforts for legacy databases and data services.
• Develop and maintain cloud-native data solutions using Azure SQL, Azure Data Factory, Cosmos, and other relevant services.
• Operate in an AI driven SDLC environment : Collaborate with AI copilots to convert stakeholder requirements into structured data models and specs.
• Use generative AI tools to iterate on database architectures and performance strategies.
• Pair program with AI assistants (e.g., GitHub Copilot, Claude) to write, refactor, and validate SQL in real-time.
• Implement tools for automated validation, bug prediction, and self-healing data pipelines.
• Collaborate with application engineers to ensure seamless integration between backend data systems and product features.
• Monitor and troubleshoot database performance, security, and compliance issues.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed